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Record W4396953645 · doi:10.1161/circ.149.suppl_1.p201

Abstract P201: Adherence to Time-Restricted Eating is Related to Long-Term Weight Changes Among Women

2024· article· en· W4396953645 on OpenAlexaff
Yoriko Heianza, Leah E. Cahill, Oona J DiMatteo, Emily M Drotz, Qi Sun, JoAnn E. Manson, Lu Qi

Bibliographic record

VenueCirculation · 2024
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineTerm (time)GerontologyWeight lossObesityInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Chronic disruption of circadian rhythms is linked to weight gain and metabolic dysregulation. Time-restricted eating (TRE), a form of intermittent fasting, has shown effectiveness in improving short-term weight loss and energy homeostasis. However, associations between habitual adherence to TRE and long-term weight change remain understudied. Hypothesis: We tested whether adherence to TRE assessed by the gold-standard seven-day dietary records (7DDRs) was related to 5-year change in body weight among women. Methods: The present analysis included 650 women (mean [SD]: age 63 [9] y; BMI 26.4 [5.3] kg/m 2 ) without cardiovascular disease at baseline who completed 7DDRs in a sub-study of the Nurses’ Health Studies (NHS/NHSII), the Women’s Lifestyle Validation Study (WLVS) (2010-12). TRE was indicated by 4-12 hours of daily eating window (EW). The adherence to TRE was assessed by summing up the TRE days in a week. We also calculated 7-day averaged values of EW hours, last/first time of eating occasion (EO), and within-person variability of these variables. Weight change from baseline to a follow-up survey (NHS: 2016-18; NHSII: 2015-17) were analyzed. Total energy expenditure (TEE) and physical activity expenditure (PAEE) were measured at baseline using the doubly labeled water dilution method. Results: Longer averaged hours of EW were related to greater weight gain (β 0.7 [0.3] kg per 2 hours) after adjusting for covariates of demographic factors, total energy intake, physical activity, alcohol, within-person variation of EW, the averaged time of last EO, and the initial body weight ( p =0.02). Consistently, adherence to TRE was associated with less weight gain (β -0.25 [SE 0.1] kg per day increment; p =0.03) in a model adjusting for these covariates. We found that lower adherence to TRE and longer hours of EW were associated with weight gain ( p <0.05 for both) when the last eating time occurred at a later time in the day than at an earlier time. The baseline energy metabolism (TEE and PAEE) modified the associations between the hours of EW and weight changes ( P interaction-EW-TEE = 0.006; P interaction-EW-PAEE =0.01), showing significant relationships particularly among women with higher levels of adiposity and greater energy expenditure at baseline. Conclusions: Adherence to TRE and fewer habitual hours of eating were related to long-term weight changes among middle-aged and elderly women. The last eating time and energy homeostasis may partly modify the associations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.317
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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